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  • xarray · 3 ✖
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
480786385 MDU6SXNzdWU0ODA3ODYzODU= 3218 merge_asof functionality fjanoos 923438 closed 0     6 2019-08-14T16:57:22Z 2021-07-21T18:18:20Z 2021-07-21T18:18:20Z NONE      

Would it be possible to add some functionality to xarray merge that mimics pandas merge_asof ? This would be very useful when aligning timeseries dataarrays where the two arrays are misaligned.

Thanks.

 
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   completed xarray 13221727 issue
496688781 MDU6SXNzdWU0OTY2ODg3ODE= 3330 Feature requests for DataArray.rolling fjanoos 923438 closed 0     1 2019-09-21T18:58:21Z 2021-07-08T16:29:18Z 2021-07-08T16:29:18Z NONE      

In DataArray.rolling it would be really nice to have support for window sizes specified in the units of the dimension (esp. time). For example if da has dimensions (time, space, feature) with time as DatetimeIndex - then it should be possible specificy da.rolling( time=pd.Timedelta( 100, 'D') ) as a valid window

 
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   completed xarray 13221727 issue
496809167 MDU6SXNzdWU0OTY4MDkxNjc= 3332 Memory usage of `da.rolling().construct` fjanoos 923438 closed 0     5 2019-09-22T17:35:06Z 2021-02-16T15:00:37Z 2021-02-16T15:00:37Z NONE      

If I were to do data_array.rolling( time=1000 ).construct('temp_time') - what is going on under hood ? Does it make a 1000 phyiscal copies of the original dataarray - or is it only returning a view ? I feel like it's the latter - but I'm seeing a memory spike (about 20-30% increase in total process memory consumption) when I use it - so there might be something else going on ? Any ideas / pointers would be appreciated. Thanks!

 
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   completed xarray 13221727 issue

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